From 83dea96c2e041a6f0d03e0c9d8b53209ef2c7207 Mon Sep 17 00:00:00 2001
From: Michalis Spyrou <michalis.spyrou@arm.com>
Date: Thu, 27 Feb 2020 15:06:10 +0000
Subject: COMPMID-3142: Remove padding from NEPriorBoxLayer

Change-Id: Ia7095449099c06bda96f1a212b44eea8cd5d5dca
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2800
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
---
 tests/validation/NEON/PriorBoxLayer.cpp | 16 ++++++----------
 1 file changed, 6 insertions(+), 10 deletions(-)

(limited to 'tests/validation/NEON')

diff --git a/tests/validation/NEON/PriorBoxLayer.cpp b/tests/validation/NEON/PriorBoxLayer.cpp
index ed11120a10..5659b9f3ae 100644
--- a/tests/validation/NEON/PriorBoxLayer.cpp
+++ b/tests/validation/NEON/PriorBoxLayer.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -53,19 +53,15 @@ using NEPriorBoxLayerFixture = PriorBoxLayerValidationFixture<Tensor, Accessor,
 // *INDENT-OFF*
 // clang-format off
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
-               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32),    // Window shrink
+               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32)
                                                      }),
-               framework::dataset::make("Input2Info", { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32),
+               framework::dataset::make("Input2Info", { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32)
                                                      })),
-               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(1200U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(1000U, 2U), 1, DataType::F32),
+               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(1200U, 2U), 1, DataType::F32)
                                                      })),
-               framework::dataset::make("PriorBoxInfo",{ PriorBoxLayerInfo(std::vector<float>(1), std::vector<float>(1), 0, true, true, std::vector<float>(1), std::vector<float>(1), Coordinates2D{8, 8}, std::array<float, 2>()),
-                                                         PriorBoxLayerInfo(std::vector<float>(1), std::vector<float>(1), 0, true, true, std::vector<float>(1), std::vector<float>(1), Coordinates2D{8, 8}, std::array<float, 2>()),
+               framework::dataset::make("PriorBoxInfo",{ PriorBoxLayerInfo(std::vector<float>(1), std::vector<float>(1), 0, true, true, std::vector<float>(1), std::vector<float>(1), Coordinates2D{8, 8}, std::array<float, 2>())
                                                      })),
-               framework::dataset::make("Expected", { true, false})),
+               framework::dataset::make("Expected", { true})),
                input1_info, input2_info, output_info, info, expected)
 {
     bool has_error = bool(NEPriorBoxLayer::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), info));
-- 
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